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Module « matplotlib.pyplot »

Fonction subplot_mosaic - module matplotlib.pyplot

Signature de la fonction subplot_mosaic

def subplot_mosaic(mosaic: 'str | list[HashableList[_T]] | list[HashableList[Hashable]]', *, sharex: 'bool' = False, sharey: 'bool' = False, width_ratios: 'ArrayLike | None' = None, height_ratios: 'ArrayLike | None' = None, empty_sentinel: 'Any' = '.', subplot_kw: 'dict[str, Any] | None' = None, gridspec_kw: 'dict[str, Any] | None' = None, per_subplot_kw: 'dict[str | tuple[str, ...], dict[str, Any]] | dict[_T | tuple[_T, ...], dict[str, Any]] | dict[Hashable | tuple[Hashable, ...], dict[str, Any]] | None' = None, **fig_kw: 'Any') -> 'tuple[Figure, dict[str, matplotlib.axes.Axes]] | tuple[Figure, dict[_T, matplotlib.axes.Axes]] | tuple[Figure, dict[Hashable, matplotlib.axes.Axes]]' 

Description

help(matplotlib.pyplot.subplot_mosaic)

Build a layout of Axes based on ASCII art or nested lists.

This is a helper function to build complex GridSpec layouts visually.

See :ref:`mosaic`
for an example and full API documentation

Parameters
----------
mosaic : list of list of {hashable or nested} or str

    A visual layout of how you want your Axes to be arranged
    labeled as strings.  For example ::

       x = [['A panel', 'A panel', 'edge'],
            ['C panel', '.',       'edge']]

    produces 4 Axes:

    - 'A panel' which is 1 row high and spans the first two columns
    - 'edge' which is 2 rows high and is on the right edge
    - 'C panel' which in 1 row and 1 column wide in the bottom left
    - a blank space 1 row and 1 column wide in the bottom center

    Any of the entries in the layout can be a list of lists
    of the same form to create nested layouts.

    If input is a str, then it must be of the form ::

      '''
      AAE
      C.E
      '''

    where each character is a column and each line is a row.
    This only allows only single character Axes labels and does
    not allow nesting but is very terse.

sharex, sharey : bool, default: False
    If True, the x-axis (*sharex*) or y-axis (*sharey*) will be shared
    among all subplots.  In that case, tick label visibility and axis units
    behave as for `subplots`.  If False, each subplot's x- or y-axis will
    be independent.

width_ratios : array-like of length *ncols*, optional
    Defines the relative widths of the columns. Each column gets a
    relative width of ``width_ratios[i] / sum(width_ratios)``.
    If not given, all columns will have the same width.  Convenience
    for ``gridspec_kw={'width_ratios': [...]}``.

height_ratios : array-like of length *nrows*, optional
    Defines the relative heights of the rows. Each row gets a
    relative height of ``height_ratios[i] / sum(height_ratios)``.
    If not given, all rows will have the same height. Convenience
    for ``gridspec_kw={'height_ratios': [...]}``.

empty_sentinel : object, optional
    Entry in the layout to mean "leave this space empty".  Defaults
    to ``'.'``. Note, if *layout* is a string, it is processed via
    `inspect.cleandoc` to remove leading white space, which may
    interfere with using white-space as the empty sentinel.

subplot_kw : dict, optional
    Dictionary with keywords passed to the `.Figure.add_subplot` call
    used to create each subplot.  These values may be overridden by
    values in *per_subplot_kw*.

per_subplot_kw : dict, optional
    A dictionary mapping the Axes identifiers or tuples of identifiers
    to a dictionary of keyword arguments to be passed to the
    `.Figure.add_subplot` call used to create each subplot.  The values
    in these dictionaries have precedence over the values in
    *subplot_kw*.

    If *mosaic* is a string, and thus all keys are single characters,
    it is possible to use a single string instead of a tuple as keys;
    i.e. ``"AB"`` is equivalent to ``("A", "B")``.

    .. versionadded:: 3.7

gridspec_kw : dict, optional
    Dictionary with keywords passed to the `.GridSpec` constructor used
    to create the grid the subplots are placed on.

**fig_kw
    All additional keyword arguments are passed to the
    `.pyplot.figure` call.

Returns
-------
fig : `.Figure`
   The new figure

dict[label, Axes]
   A dictionary mapping the labels to the Axes objects.  The order of
   the Axes is left-to-right and top-to-bottom of their position in the
   total layout.



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